人工语法学习中意识加工的渐进发展

内隐学习研究致力于探讨学习活动的意识加工程度, 当前相关的研究逻辑从传统的意识二分观转向渐进意识假设。本研究通过对人工语法范式进行改造, 并借鉴加工分离程序的有关思想, 在学习阶段引入双重测量任务, 并根据双重任务成绩计算分离出相应学习时段的意识与无意识成分的贡献分数, 从而考察在内隐学习过程中两种加工成分的动态变化特征。研究结果支持渐进意识假设, 在学习进程中, 无意识成分和意识成分都呈现出渐进发展的趋势; 而随学习的深入, 两种成分呈现出不同的变化模式, 中后期意识加工快速增长, 无意识加工则保持平缓发展, 渐进意识系统整体呈现向外显学习推进的发展态势。     

学习和记忆的无意识研究

内隐学习和内隐记忆的研究代表了人类学习和记忆的无意识过程。在过去的40年里,内隐学习和内隐记忆的研究经历了：研究对象从人工材料走向真实生活,理论观点从分离走向协同,研究方法从单一走向多样化,以及人工神经网络模型中学习和记忆过程的模拟等。它不仅对学习和记忆本身的心理机制得到了更多的理解,而且还为整个心理学特别是认知心理学的研究开辟了广阔的前景。具体表现为多重记忆的划分、无意识研究的异军突起、研究方法的突破扩展和交叉学科的融会贯通     

学优生与学困生内隐与外显协同学习的比较研究

根据目前国内采用的标准,选取学优生和学困生各120人。运用内隐学习中的双条件人工语法材料和强分离的实验范式,考察和比较了两种学生的内隐学习、内隐与外显协同学习的成绩。结果显示:(1)学优生在外显学习、协同学习(先内隐后外显以及内隐与外显交替)方式下的成绩显著好于学困生,而在内隐学习方式下,二者成绩差异不显著。(2)学优生的外显学习及协同学习成绩显著好于内隐学习成绩,而学困生在四种学习方式下成绩差异不显著。表明在人工语法学习中学优生的有意识学习及其与无意识的协同学习效果较好,而学困生的有意识学习及协同学习较差。     

无意识信息引发的认知控制及其神经机制

对无意识信息引发的认知控制的研究是揭示意识的功能与局限的重要方法和步骤.在无意识认知控制研究中主要采用模式掩蔽和偏对比掩蔽创设无意识条件,使用客观测量方法对意识状态进行测量.作者从无意识抑制控制、无意识冲突控制和无意识错误加工三个方面回顾了近年对无意识认知控制及其神经机制的研究.已有研究从行为和认知神经研究两个方面强有力地证明了无意识认知控制的存在,揭示了其神经机制.这些研究拓展了人们对意识信息广度和深度的认识,也为未来进一步揭示意识的起源等问题奠定了一定的基础.未来的研究可以从无意识认知控制和有意识认知控制的相互转化等方面进行进一步研究.     

Implicit learning shapes new conscious percepts and representations

We present here the lineaments of a new account of implicit learning, an account that does not rely on the notion of “implicit knowledge.” In this account, improved performance depends on the action of unconscious mechanisms that structure the phenomenal, conscious experience of the world. This integrative view makes groundless the search for dissociations between conscious and unconscious influences that has been at the core of the research on implicit learning and memory. We contrast this view, on the one hand, to Dienes and Berry’s (1997) proposal, which defines implicit learning by analogy with subliminal perception, and, on the other, to Neal and Hesketh’s (1997) episodic account, in which subjective experience is a starting point for inquiry, rather than the phenomenon requiring explanation.     

内隐学习意识性研究的两种理论取向:二分与渐进

传统的内隐学习研究范式大多致力于意识与无意识加工的操作性分离。随着学习任务和测量手段的改进,越来越多的研究发现量化渐变比二元分离能更好地兼容实验数据。本文对认知领域中与二分和渐进两种取向相关的理论框架和实证研究进行介绍和评价,指出意识的二分与渐进假设是源自不同的概念定义层次的理论框架,即功能性概念和解释性概念,因而对现象学数据具有不同的解释效力。它们的共存提供了不同的研究视角,丰富了我们对内隐学习活动的认识。     

内隐学习的主观测量标准

近40年来,验证知识的内隐性一直是内隐学习研究的焦点。传统三大范式常以自由言语报告或是迫选测验作为验证知识内隐性的外显指标,然而各种迹象表明,言语报告和迫选测验存在一定的局限性。由此,Dienes等人提出了内隐学习的主观测量。文章将从言语报告和追选测验的局限性着手,阐述主观测量诞生的必要性及其在衡量知识意识性上的效度。     

Measuring unconscious knowledge: distinguishing structural knowledge and judgment knowledge

This paper investigates the dissociation between conscious and unconscious knowledge in an implicit learning paradigm. Two experiments employing the artificial grammar learning task explored the acquisition of unconscious and conscious knowledge of structure (structural knowledge). Structural knowledge was contrasted to knowledge of whether an item has that structure (judgment knowledge). For both structural and judgment knowledge, conscious awareness was assessed using subjective measures. It was found that unconscious structural knowledge could lead to both conscious and unconscious judgment knowledge. When structural knowledge was unconscious, there was no tendency for judgment knowledge to become more conscious over time. Furthermore, conscious rather than unconscious structural knowledge produced more consistent errors in judgments, was facilitated by instructions to search for rules, and after such instructions was harmed by a secondary task. The dissociations validate the use of these subjective measures of conscious awareness.     

神经网络模型对内隐学习的探索

近几年来,研究者们借助人工神经网络模型的方法对内隐学习研究中突出的争论性问题进行了新的探索。针对内隐学习的无意识问题,模拟研究发现确实存在一种无意识的内隐学习,然而这种无意识加工的发生与否要取决于规则的难易程度;针对内隐学习的抽象性问题,人工神经网络模型所主张的分布式概率表征能较好地加以解释。可见,神经网络模型的原理和模拟研究可能为真正地解决内隐学习的无意识性和抽象性等目前争论较多的领域提供一个全新的视角和研究方向。     

认认知模糊程度和动机强度对有意识和无意识自我欺骗的影响

三个实验分别探讨了无意识和有意识自我欺骗存在的可能性, 以及认知模糊程度与动机强度对两种自我欺骗的影响。实验1的结果发现, 自我欺骗存在无意识和有意识两种形式; 实验2的结果发现, 随着认知模糊程度的降低, 无意识自我欺骗人数明显减少, 而有意识自我欺骗人数显著增加; 实验3的结果发现, 随着动机强度的增加, 有意识自我欺骗人数显著增多, 无意识自我欺骗人数并无显著变化。结果提示, 自我欺骗具有现实存在性, 且有两种不同形式; 两种形式自我欺骗具有不同的产生机制。     

When can we introspect accurately about mental processes?

Some theorists have suggested that the cognitive processes determining a person’s perforance in a given task are unconscious, making introspection a poor research tool for studying these processes. Others have argued that the relevant processes usually are consciously conrolled and can be detailed by asking the person to introspect. Here, a synthesis of these two positions, a dual-factor approach, is proposed. Some of the processes involved in achieving a cognitive goal, such as learning a new concept, are viewed as unconscious and automatic; howver, other processes are intentionally allocated conscious attention, in certain tasks, to accomlish othe goal. To illustrate this dual-factor position, evidence is presented in support of the view that when concept learning occurs solely by automatic frequency processing, introspective reports are inaccurate, but when the nature of the task prompts intentional hypothesis testing, introspective reports are accurate, revealing clues that subjects engage in a conscious hypothesisesting strategy.     

A process-dissociation examination of the cognitive processes underlying unconscious thought

Conscious and unconscious thought have been previously found to differentially impact decision-making quality. However, little research has directly measured the processes underlying these modes of thinking. We propose that both thinking modes are characterized by rule-based and intuitive processing. In two experiments, we used the Process Dissociation Procedure to independently measure these cognitive processes. We tested three competing hypotheses: (a) conscious thinking evokes both increased rule-based and decreased intuitive processing compared to unconscious thinking; (b) conscious and unconscious thinking evoke similar levels of intuitive processing but conscious thinking enhances rule-based processing; and (c) conscious and unconscious thinking evoke similar levels of rule-based processing but unconscious thinking enhances intuitive processing. Experiment 1 used base-rate and law-of-large-numbers decision-making problems, whereas Experiment 2 used decision-making problems similar to the “apartment” problem that is often used in unconscious thought studies. In both experiments we found support for hypothesis (b).     

Implicit and explicit learning: individual differences and IQ

We explored the degree to which individual differences in performance were observed in a group of subjects who worked with two different tasks: one implicit and one explicit. The implicit task was a standard artificial grammar-learning task; the explicit was a series-completion problem-solving task. Substantial individual differences were found between subjects on the explicit task; relatively small individual differences were found on the implicit task. Moreover, performance on the explicit task correlated strongly with intelligence quotient, but performance on the implicit task did not. Data from previous experiments were also found to be in agreement with these results. The findings are presented in the context of a general theory of implicit learning proposed recently by Reber (1989a, in press) that derives from considerations of the evolution of cognitive processes. This evolutionary model argues that unconscious, implicit induction systems are evolutionarily older and antedate conscious, explicit learning processes, and that this antiquity carries with it particular patterns of function that differentiate implicit processes from explicit processes.     

Implicit learning: news from the front

Can we learn without awareness? While the current consensus is most likely to be `no', there is, however, considerable ongoing debate about the role that consciousness plays in cognition and about the nature of consciousness itself. In this article, we review recent advances in the field of implicit learning, based on three perspectives: empirical findings (including neuropsychological evidence), methodological issues, and theoretical positions (including computational models). The overall picture that emerges is complex and reflects a field that is very much in flux: while it seems undeniable that cognition involves some form of unconscious processing, it is as yet unclear how to best separate conscious and unconscious influences on learning, and how to best think about the status of the `cognitive unconscious'. We suggest that implicit learning is best construed as a complex form of priming taking place in continuously learning neural systems, and that the distributional knowledge so acquired can be causally efficacious in the absence of awareness that this knowledge was acquired or that it is currently influencing processing, that is, in the absence of metaknowledge.     

Can unconscious knowledge allow control in sequence learning?

This paper investigates the conscious status of both the knowledge that an item is legal (judgment knowledge) and the knowledge of why it is legal (structural knowledge) in sequence learning. We compared ability to control use of knowledge (Process Dissociation Procedure) with stated awareness of the knowledge (subjective measures) as measures of the conscious status of knowledge. Experiment 1 showed that when people could control use of judgment knowledge they were indeed conscious of having that knowledge according to their own statements. Yet Experiment 2 showed that people could exert such control over the use of judgment knowledge when claiming they had no structural knowledge: i.e. conscious judgment knowledge could be based on unconscious structural knowledge. Further implicit learning research should be clear over whether judgment or structural knowledge is claimed to be unconscious as the two dissociate in sequence learning.     

Talk of Pedophilia: The Reflexive Management of Desire

Sociologists have increasingly been using theories and models borrowed from cognitive science and psychology to address questions of personal motivation. One influential model is the dual-process model, a cognitive model which holds that individuals think and act either unconsciously and automatically, or consciously and deliberately. Through an analysis of conversations between individuals who are sexually attracted to minors, however, I find that these individuals’ sexual desires cannot be reduced to strictly automatic or deliberate means. Due to the taboo nature of this sexual preference in these individuals’ locales, their unconscious sexual desires are frequently called into question and made conscious.     

内隐序列学习中的渐进意识：来自习得知识的发展与遗忘的证据

内隐学习过程中习得知识的发展变化是内隐学习的一个重要特征。本研究采用序列反应时范式通过操纵学习进程（实验一）和学习与测验间的时间间隔（实验二）来考察内隐序列学习进程中习得知识的发展与遗忘特征,结果发现,（1）内隐序列学习中习得的无意识知识多于意识知识;（2）随着学习的推进,意识知识逐渐增加,而无意识知识则呈减弱趋势,证实了内隐学习的长时功效;（3）习得的无意识知识具有抗遗忘性,而意识知识在间隔8小时之后才开始出现遗忘。     

Role of prior knowledge in implicit and explicit learning of artificial grammars

Artificial grammar learning (AGL) performance reflects both implicit and explicit processes and has typically been modeled without incorporating any influence from general world knowledge. Our research provides a systematic investigation of the implicit vs. explicit nature of general knowledge and its interaction with knowledge types investigated by past AGL research (i.e., rule- and similarity-based knowledge). In an AGL experiment, a general knowledge manipulation involved expectations being either congruent or incongruent with training stimulus structure. Inconsistent observations paradoxically led to an advantage in structural knowledge and in the use of general world knowledge in both explicit (conscious) and implicit (unconscious) cases (as assessed by subjective measures). The above findings were obtained under conditions of reduced processing time and impaired executive resources. Key findings from our work are that implicit AGL can clearly be affected by general knowledge, and implicit learning can be enhanced by the violation of expectations.     

The unconscious pursuit of emotion regulation: implications for psychological health

Because of the central involvement of emotion regulation in psychological health and the role that implicit (largely unconscious) processes appear to play in emotion regulation, implicit emotion-regulatory processes should play a vital role in psychological health. We hypothesised that implicitly valuing emotion regulation translates into better psychological health in individuals who use adaptive emotion-regulation strategies. A community sample of 222 individuals (56% women) who had recently experienced a stressful life event completed an implicit measure of emotion regulation valuing (ER-IAT) and reported on their habitual use of an important adaptive emotion-regulation strategy: cognitive reappraisal. We measured three domains of psychological health: well-being, depressive symptoms, and social adjustment. As hypothesised, individuals who implicitly valued emotion regulation exhibited greater levels of psychological health, but only when they were high in cognitive reappraisal use. These findings suggest that salutary effects of unconscious emotion-regulation processes depend on its interplay with conscious emotion-regulation processes.